docstr: 使用self.model的value网络来获取 [Q(s,a1),Q(s,a2),...]
          
docstr_tok: ["\u4f7f\u7528self.model\u7684value\u7f51\u7edc\u6765\u83b7\u53d6","[","Q","(","s",",","a1",")",",","Q","(","s",",","a2",")",",","...","]"]
code: def predict(self, obs):
      """使用self.model的value网络来获取 [Q(s,a1),Q(s,a2),...]"""
      return self.model.value(obs)
  
file_path: PARL/examples/tutorials/lesson3/dqn/algorithm.py
imports: import copy
  import paddle.fluid
  import parl
  from parl import layers
label_desc: Use image node_id 2 for calling the DQN obj's underlying member method code with example usage: obj.predict(obs) and returns: self